Ackley.function() - Code Metrics - Inspection of "Functions description" - NiaOrg/NiaPy - Measure and Improve Code Quality continuously with Scrutinizer

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Pull Request — master (#23)

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created 2018-02-12 19:03 UTC

Ackley.function() B

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Complexity

Conditions

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Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	3
Bugs	2	Features	0

Metric	Value
c	3
b	2
f	0
dl	0
loc	24
rs	8.9713
cc	3

"""Implementation of Ackley function.


Date: 2018

Author: Lucija Brezočnik

License: MIT

Function: Ackley function

Input domain:
    The function can be defined on any input domain but it is usually
    evaluated on the hypercube x_i ∈ [-32.768, 32.768], for all i = 1, 2,..., D.

Global minimum:
    f(x*) = 0, at x* = (0,...,0)

LaTeX formats:
    Inline: $f(x) = -a\;exp\left(-b \sqrt{\frac{1}{D}
             \sum_{i=1}^D x_i^2}\right) - exp\left(\frac{1}{D}
             \sum_{i=1}^D cos(c\;x_i)\right) + a + exp(1)$
    Equation:  \begin{equation}f(x) =
               -a\;exp\left(-b \sqrt{\frac{1}{D} \sum_{i=1}^D x_i^2}\right) -
               exp\left(\frac{1}{D} \sum_{i=1}^D cos(c\;x_i)\right) +
               a + exp(1) \end{equation}
    Domain: $-32.768 \leq x_i \leq 32.768$

Reference: https://www.sfu.ca/~ssurjano/ackley.html
"""

import math

__all__ = ['Ackley']


class Ackley(object):

    def __init__(self, Lower=-32.768, Upper=32.768):
        self.Lower = Lower
        self.Upper = Upper

    @classmethod
    def function(cls):
        def evaluate(D, sol):

            a = 20  # Recommended variable value
            b = 0.2  # Recommended variable value
            c = 2 * math.pi  # Recommended variable value

            val = 0.0
            val1 = 0.0
            val2 = 0.0

            for i in range(D):
                val1 += math.pow(sol[i], 2)
                val2 += math.cos(c * sol[i])

            temp1 = -b * math.sqrt(val1 / D)
            temp2 = val2 / D

            val = -a * math.exp(temp1) - math.exp(temp2) + a + math.exp(1)

            return val

        return evaluate


1			"""Implementation of Ackley function.
			0 ignored issues – show Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\;` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history... Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\l` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history... Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\s` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history... Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\e` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history...
2
3			Date: 2018
4
5			Author: Lucija Brezočnik
6
7			License: MIT
8
9			Function: Ackley function
10
11			Input domain:
12			The function can be defined on any input domain but it is usually
13			evaluated on the hypercube x_i ∈ [-32.768, 32.768], for all i = 1, 2,..., D.
14
15			Global minimum:
16			f(x) = 0, at x = (0,...,0)
17
18			LaTeX formats:
19			Inline: $f(x) = -a\;exp\left(-b \sqrt{\frac{1}{D}
20			\sum_{i=1}^D x_i^2}\right) - exp\left(\frac{1}{D}
21			\sum_{i=1}^D cos(c\;x_i)\right) + a + exp(1)$
22			Equation: \begin{equation}f(x) =
23			-a\;exp\left(-b \sqrt{\frac{1}{D} \sum_{i=1}^D x_i^2}\right) -
24			exp\left(\frac{1}{D} \sum_{i=1}^D cos(c\;x_i)\right) +
25			a + exp(1) \end{equation}
26			Domain: $-32.768 \leq x_i \leq 32.768$
27
28			Reference: https://www.sfu.ca/~ssurjano/ackley.html
29			"""
30
31			import math
32
33			__all__ = ['Ackley']
34
35
36			class Ackley(object):
37
38			def __init__(self, Lower=-32.768, Upper=32.768):
39			self.Lower = Lower
40			self.Upper = Upper
41
42			@classmethod
43			def function(cls):
44			def evaluate(D, sol):
45
46			a = 20 # Recommended variable value
47			b = 0.2 # Recommended variable value
48			c = 2 * math.pi # Recommended variable value
49
50			val = 0.0
51			val1 = 0.0
52			val2 = 0.0
53
54			for i in range(D):
55			val1 += math.pow(sol[i], 2)
56			val2 += math.cos(c * sol[i])
57
58			temp1 = -b * math.sqrt(val1 / D)
59			temp2 = val2 / D
60
61			val = -a * math.exp(temp1) - math.exp(temp2) + a + math.exp(1)
62
63			return val
64
65			return evaluate
66

NiaOrg / NiaPy

Pull Request — master (#23)

Ackley.function() B

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